Unverified50% confidenceFactExact time
"Context drift" refers to large language models having no memory of a project's historical decisions in each new session, regenerating behavior patterns based on their own training distribution, which causes inconsistent code output across different sessions, members, and agents on the same project.
1
Sources
50%
Confidence
Long-term
Relevance
11/1/2026
First Seen
Sources
ClaudeMD: The Config File That Makes AI Code Assistants Follow Your Rules
youtubeThe Cyber Sanyasi11/1/2026
Related Entities
Related Claims
Unverified语义漂移(Semantic Drift)指 LLM 倾向于基于训练数据中的通用模式推断,而非严格遵守特定企业业务定义72% similarUnverifiedA language model is essentially a pattern-continuation machine; when the context has accumulated a large amount of its own operational history, the model tends to repeat what it has already done rather than reason about the task's next step, a phenomenon called context distraction.72% similarUnverifiedConfiguration drift refers to the deviation that accumulates over time between a system's actual state and its documented description, and can be countered by the single source of truth principle.71% similarUnverifiedExperience distillation and context injection are the implementation foundation of the framework-level recursion; framework knowledge is stored in natural language form, does not change model parameters, and is instead dynamically concatenated into the prompts or context of subsequent tasks.69% similar
Cite This Claim
Stable URI
https://kongchang.com/claim/1123298API
curl https://kongchang.com/api/v1/knowledge/claims/1123298MCP
get_claim(id=1123298)